Rajesh Bhayana, Aly Fawzy, Yangqing Deng, Robert R Bleakney, Satheesh Krishna
{"title":"放射学大语言模型的检索增强生成:董事会考试成绩的又一次飞跃。","authors":"Rajesh Bhayana, Aly Fawzy, Yangqing Deng, Robert R Bleakney, Satheesh Krishna","doi":"10.1148/radiol.241489","DOIUrl":null,"url":null,"abstract":"<p><p><i>Supplemental material is available for this article.</i> See also the editorial by Forghani in this issue.</p>","PeriodicalId":20896,"journal":{"name":"Radiology","volume":"313 1","pages":"e241489"},"PeriodicalIF":12.1000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrieval-Augmented Generation for Large Language Models in Radiology: Another Leap Forward in Board Examination Performance.\",\"authors\":\"Rajesh Bhayana, Aly Fawzy, Yangqing Deng, Robert R Bleakney, Satheesh Krishna\",\"doi\":\"10.1148/radiol.241489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><i>Supplemental material is available for this article.</i> See also the editorial by Forghani in this issue.</p>\",\"PeriodicalId\":20896,\"journal\":{\"name\":\"Radiology\",\"volume\":\"313 1\",\"pages\":\"e241489\"},\"PeriodicalIF\":12.1000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1148/radiol.241489\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1148/radiol.241489","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
期刊介绍:
Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies.
Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.